Papers with Code 아카이브
Zero-Shot Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 42
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model
Decoupling Zero-Shot Semantic Segmentation
Extract Free Dense Labels from CLIP
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
Conterfactual Generative Zero-Shot Semantic Segmentation
A Closer Look at Self-training for Zero-Label Semantic Segmentation
Recursive Training for Zero-Shot Semantic Segmentation
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation
Context-aware Feature Generation for Zero-shot Semantic Segmentation
Learning unbiased zero-shot semantic segmentation networks via transductive transfer
Zero-Shot Semantic Segmentation
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.